{"id":"https://openalex.org/W47698977","doi":null,"title":"ARIMA models versus gene expression programming in precipitation modeling","display_name":"ARIMA models versus gene expression programming in precipitation modeling","publication_year":2009,"publication_date":"2009-03-23","ids":{"openalex":"https://openalex.org/W47698977","mag":"47698977"},"language":"en","primary_location":{"id":"mag:47698977","doi":null,"is_oa":false,"landing_page_url":"https://www.researchgate.net/profile/Alina_Barbulescu/publication/234765701_ARIMA_models_versus_gene_expression_programming_in_precipitation_modeling/links/02bfe5138481fcc0ad000000.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000785049","display_name":"Alina B\u0103rbulescu","orcid":"https://orcid.org/0000-0001-9840-2443","observed_orcids":["https://orcid.org/0000-0001-9840-2443"]},"institutions":[{"id":"https://openalex.org/I155936010","display_name":"Ovidius University","ror":"https://ror.org/050ccpd76","country_code":"RO","type":"education","lineage":["https://openalex.org/I155936010"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Alina B\u0103rbulescu","raw_affiliation_strings":["Department of Mathematics and Computers Science, Ovidius University, Constanta, Romania"],"raw_orcid":"https://orcid.org/0000-0001-9840-2443","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computers Science, Ovidius University, Constanta, Romania","institution_ids":["https://openalex.org/I155936010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084943384","display_name":"Elena B\u00e3utu","orcid":"https://orcid.org/0000-0002-2803-2616","observed_orcids":["https://orcid.org/0000-0002-2803-2616"]},"institutions":[{"id":"https://openalex.org/I155936010","display_name":"Ovidius University","ror":"https://ror.org/050ccpd76","country_code":"RO","type":"education","lineage":["https://openalex.org/I155936010"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Elena B\u00e3utu","raw_affiliation_strings":["Department of Mathematics and Computers Science, Ovidius University, Constanta, Romania"],"raw_orcid":"https://orcid.org/0000-0002-2803-2616","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computers Science, Ovidius University, Constanta, Romania","institution_ids":["https://openalex.org/I155936010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155936010"],"apc_list":null,"apc_paid":null,"fwci":1.4757,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81848785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.013100000098347664,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/precipitation-modeling","display_name":"precipitation simulation","score":0.9020000100135803},{"id":"https://openalex.org/keywords/hydrological-time-series","display_name":"hydrological time series","score":0.9200000166893005},{"id":"https://openalex.org/keywords/arima-model","display_name":"ARIMA model","score":0.9430000185966492},{"id":"https://openalex.org/keywords/gene-expression-programming","display_name":"gene expression programming","score":0.9810000061988831},{"id":"https://openalex.org/keywords/change-point-detection","display_name":"change point detection","score":0.8429999947547913},{"id":"https://openalex.org/keywords/hybrid-modeling","display_name":"hybrid modeling","score":0.6340000033378601},{"id":"https://openalex.org/keywords/time-series-segmentation","display_name":"time series segmentation","score":0.578000009059906}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8197419047355652},{"id":"https://openalex.org/C6980683","wikidata":"https://www.wikidata.org/wiki/Q5531551","display_name":"Gene expression programming","level":2,"score":0.7304151058197021},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6645736694335938},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5989418625831604},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5827308297157288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5419555306434631},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.47671669721603394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35965049266815186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3388039767742157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33320820331573486},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:47698977","doi":null,"is_oa":false,"landing_page_url":"https://www.researchgate.net/profile/Alina_Barbulescu/publication/234765701_ARIMA_models_versus_gene_expression_programming_in_precipitation_modeling/links/02bfe5138481fcc0ad000000.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.6618000268936157,"display_name":"Clean water and sanitation"},{"id":"https://metadata.un.org/sdg/13","score":0.4399999976158142,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W62072190","https://openalex.org/W1504822855","https://openalex.org/W1542869478","https://openalex.org/W1968889106","https://openalex.org/W1973422505","https://openalex.org/W1992303965","https://openalex.org/W2009543464","https://openalex.org/W2057045649","https://openalex.org/W2078401929","https://openalex.org/W2098734797","https://openalex.org/W2138623253","https://openalex.org/W2149344554","https://openalex.org/W2163039452","https://openalex.org/W2796034401"],"related_works":["https://openalex.org/W2125801917","https://openalex.org/W1741041915","https://openalex.org/W2251050944","https://openalex.org/W2460688418","https://openalex.org/W3009583339","https://openalex.org/W2461826941","https://openalex.org/W2490775004","https://openalex.org/W2790260518","https://openalex.org/W2764114191","https://openalex.org/W1582690915"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,77],"present":[4],"a":[5,20,23,90],"case":[6],"study:":[7],"the":[8,16,34,37,44,57,60,73,79,86,93,99],"application":[9],"of":[10,18,36,59,92,101],"some":[11],"conceptually":[12],"different":[13],"approaches":[14],"to":[15,33,43,68],"problem":[17,28],"identifying":[19],"model":[21,78],"for":[22],"hydrological":[24],"time":[25,38,51,74],"series.":[26],"The":[27,95],"is":[29],"particularly":[30],"challenging,":[31],"due":[32],"size":[35],"series":[39,52],"and":[40,53,76,85,89,106],"more":[41],"importantly,":[42],"many":[45],"complex":[46],"phenomena":[47],"that":[48,54],"influence":[49],"such":[50],"reflect":[55],"in":[56,72],"characteristics":[58],"data.":[61],"We":[62],"use":[63],"well":[64],"established":[65],"statistical":[66,104],"methods":[67,107],"detect":[69],"change":[70],"points":[71],"series,":[75],"subseries":[80],"obtained":[81,97],"by":[82],"ARIMA,":[83],"GEP":[84],"adaptive":[87],"variant":[88],"combination":[91],"two.":[94],"models":[96],"state":[98],"efficiency":[100],"combining":[102],"pure":[103],"tests":[105],"with":[108],"heuristic":[109],"approaches.":[110]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}